Monte

What is Monte

Monte is a portable context layer designed for AI agent personalization and persona-backed task alignment. It aims to provide a new standard for AI personalization by allowing users to own their AI signals, such as taste, judgment, and goals, enabling agents to adapt before tasks begin.

How to use Monte

1. Install Monte: Use the command npm i -g monte-engine.
2. Authenticate: Run monte auth.
3. Personalize Context: Execute monte personalize context "[Your task description]" --mode planning --json.
4. Handoff to Agent: Paste the generated task-aware guidance into your AI agent session (e.g., Claude Code).

Features of Monte

• Portable Context Layer: Enables AI agent personalization.
• Persona-Backed Task Alignment: Aligns agent tasks with user personas.
• Owned AI Signals: Users own their taste, judgment, and goals.
• Pre-task Adaptation: Agents adapt based on owned signals before starting work.
• Works with Favorite Agents: Integrates with agents like Claude Code, Codex, Lindy, Notion, Hermes, and Manus.
• Nine Dimensions of Persona: Captures persona through detailed dimensions, not just general "vibes".
• Multiple Output Surfaces: Provides context via CLI, API, and prompt formats.
• Signal Coverage: Tracks sources, memories, and rules for personalization.
• Developer Focused: Offers CLI commands for personalization and API fallbacks.
• Workflow Integration: Seamlessly integrates into agent workflows from setup to execution.
• Inspectable Signals: Personalization signals are rule-based and reviewable.
• Team Features: Allows for shared profiles for inspecting, versioning, and tuning personas.

Use Cases of Monte

• AI Agent Personalization: Tailoring AI agent behavior to individual user preferences and styles.
• Task Alignment: Ensuring AI agents understand and align with specific task requirements based on user context.
• Reducing Cold Starts: Minimizing the need for agents to re-learn user preferences for each new task.
• Improving Agent Responses: Leading to better first responses and fewer resets by providing agents with pre-existing context.
• Streamlining Workflows: Integrating personalized context into existing agent workflows for increased efficiency.
• Software Development: Providing context for AI coding assistants like Claude Code.

Pricing

• Starter: Demo persona, explore CLI and docs without a card.
• Builder: $0.20/context, with options for $10 (50 requests), $25 (125 requests), and $50 (250 requests).
• Team: Features shared profiles for inspecting, versioning, and tuning personas.

FAQ

• What is Monte? Monte is a portable context layer for AI agent personalization and persona-backed task alignment.
• How do I install Monte? Use the npm command: npm i -g monte-engine.
• What agents does Monte work with? Monte integrates with agents like Claude Code, Codex, Lindy, Notion, Hermes, and Manus.
• What are the pricing tiers? Monte offers Starter, Builder, and Team plans.